Were helping shape the future of financial services and want experienced Quantitative risk professionals of exceptional talent to join us. Youll bring intellectual curiosity to every challenge and give our clients advice that helps them do business better.
If you have experience in any area of quantitative or Risk modelling and have a background in financial services, we have outstanding opportunities working with the worlds most successful companies.
What you will do
Join us in a quantitative advisory role and youll:
- Work with clients to understand market, credit and operational risks and capture these in modelling frameworks
- Understand and challenge client's quantitative and risk modelling approaches
- Propose, design and build key client risk models, and integrate these into their business strategy and operations
- Build and strengthen strong relationships with quantitative and risk contacts across the market
- Take on leadership responsibilities, coach team members, share knowledge and help them to develop.
What you need
Were looking for people who have:
- Strong academic background including a Bachelor's degree in Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred
- Familiarity with statistical and numerical techniques and the principles of the theory of probability and stochastic calculus
- Ability to execute C++/Visual Basic/Excel routines and analytical programming requirements
- A desire to develop and integrate quantitative skills within a required scope of designing and implementing business services
- Experience working in a financial product engineering/research and development environment designing and developing quantitative methods and services for capital market products.
Its more than a job application. Its about your future.
At Ernst & Young our inclusive work environment means that everyones opinion is valued. This enables us to provide better advice and ideas to our clients, which in turn helps you develop as an individual to achieve your potential and make a difference.
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Reference number: TCLON0024H